Alternative formulae for robust Weighted Total Least-Squares solutions for Errors-In-Variables models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11200-019-0282-z.pdf
Reference62 articles.
1. Amiri-Simkooei A.R. and Jazaeri S., 2012. Weighted Total Least-Squares formulated by standard Least-Squares theory. J. Geod. Sci., 2, 113–124
2. Amiri-Simkooei A.R., 2013. Application of Least-Squares variance component estimation to errors-in-variables models. J. Geodesy, 87, 935–944
3. Amiri-Simkooei A.R. and Jazaeri S., 2013. Data-snooping procedure applied to Errors-In-Variables models. Stud. Geophys. Geod., 57, 426–441
4. Amiri-Simkooei A.R., Zangeneh-Nejad F. and Asgari J., 2016. On the covariance matrix of weighted Total Least-Squares estimates. J. Surv. Eng., 142, DOI: https://doi.org/10.1061/(ASCE)SU.1943-5428.0000153
5. Amiri-Simkooei A.R., 2018. Parameter estimation in 3D affine and similarity transformation: Implementation of variance component estimation. J. Geodesy, 92, 1285–1297
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